1.模型选择、模型平均

2.估计理论

3.极限理论

2012/4-2013/7，讲师，云南财经大学

2013/8-2018/9，副教授，云南财经大学

2012/12-2013/12，高级研究助理，香港城市大学

2018/10-2023/2，教授，云南财经大学

2023/2-至今，教授，5822yh银河国际

1.网络邻接矩阵和节点响应变量的共同参数模型：参数估计、模型选择和模型平均，国家自然科学基金项目—面上项目；

2.模型误设定时一类广义线性混合模型的模型选择和模型平均研究，国家自然科学基金项目—地区项目；

3.带有随机效应的广义空间自回归模型的统计推断，国家自然科学基金项目—青年项目。

论文 （#：同等贡献作者，*：通讯作者）

18. Racine, J.^#, Li, Q. ^#, Yu, D. ^# and Zheng, L. ^#* (2022+) Optimal model averaging of mixed-data kernel-weighted spline regressions, Accepted for publication by Journal of Business & Economic Statistics, doi: 10.1080/07350015.2022.2118126.

17. Zhou, J., Wan, A.T.K. and Yu, D.* (2022) Frequentist model averaging for zero-inflated Poisson regression models, Statistical Analysis and Data Mining: The ASA Data Science Journal 15, 679-691.

16. 赵尚威, 喻达磊*, 张新雨 （2022）一般协方差矩阵下的修正Akaike信息准则. 中国科学：数学, 52, 555-582.

15.  Zhao, S., Liao, J. and Yu, D. * (2020) Model averaging estimator in ridge regression and its large sample properties. Statistical Papers 61, 1719–1739.

14.   Yu, D., Ding, C., He, N., Wang, R. Zhou, X. and Shi, L. * (2019) Robust estimation and confidence interval in meta-regression models. Computational Statistics & Data Analysis 129, 93–118.

13. 喻达磊*, 饶炜东, 尹潇潇（2018）岭回归中基于广义交叉核实法的最优模型平均估计. 系统科学与数学38, 652-661.

12. Yu, D., Zhang, X. *, and Yau, K.K.W. (2018) Asymptotic properties and information criteria for misspecified generalized linear mixed models. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 80, 817-836. (Initial title: “Information criterion for misspecified random effects model”).

11. Shi, L., Zuo, S., Yu, D. and Zhou, X. (2017) Influence diagnostics in meta-regression model. Research Synthesis Methods 8, 343–354.

10. Yu, D. * (2016) Conditional Akaike information criteria for a class of Poisson mixture models with random effects. Scandinavian Journal of Statistics 43 1214 –1235.

9. Zhang, X., Yu, D., Zou, G. and Liang, H. * (2016). Optimal model averaging estimation for generalized linear models and generalized linear mixed-effects models. Journal of the American Statistical Association 111 1775–1790.

8. Yu, D. *, Bai P. and Ding, C. (2015). Adjusted quasi-maximum likelihood estimator for mixed regressive, spatial autoregressive model and its small sample bias. Computational Statistics & Data Analysis 87 116–135.  (Initial title: “Restricted quasi-maximum likelihood estimator for mixed regressive, spatial autoregressive model”).

7. Chan, M.-T., Yu, D., Yau, K.K.W. * (2015). Multilevel cumulative logistic regression model with random effects: Application to British social attitudes panel survey data. Computational Statistics & Data Analysis 88 173–186.

6. Yu, D. and Yau, K.K.W. * (2013). Robust REML estimation for k-component Poisson mixture with random effects: application to the epilepsy seizure count data and urinary tract infections data. Statistics in Medicine 32 2479-2499.

5. Yu, D., Zhang, X. and Yau, K.K.W. * (2013). Information based model selection criteria for generalized linear mixed models with unknown variance component parameters. Journal of Multivariate Analysis 116, 245-262.

4. Li, M., Yu, D. * and Bai, P. (2013). A note on the existence and uniqueness of quasi-maximum likelihood estimators for mixed regressive, spatial autoregression models. Statistics and Probability Letters 83, 568-572.

3. Yu, D. and Yau, K.K.W. * (2012). Conditional Akaike information criterion for generalized linear mixed models. Computational Statistics & Data Analysis 56, 629-644.

2. Yu, D., Yau, K. K. W. and Ding, C., Information based model selection criterion for binary response generalized linear mixed models, The Fifth International Joint Conference on Computational Sciences and Optimization (CSO 2012), 2012.6.24-26, 57-61, Harbin and Wudalianchi, China, 2012, Conference Publications.

1. Ding, C. and Yu, D., Statistical inference on progressive type-II censored data from extreme-value distribution, The Fifth International Joint Conference on Computational Sciences and Optimization (CSO 2012), 2012.6.24-26, 62-66, Harbin and Wudalianchi, China, 2012, Conference Publications.

获奖和人才称号

获奖：

云南省哲学社会科学优秀成果三等奖，2017（第一完成人）；

云南省社会科学奖三等奖，2022（第一完成人）；

人才称号：

5822yh银河国际校内青拔A类支持计划，2023